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plot_classifier_comparison.rst.txt
py: ========== Classifier comparison ========== A comparison...random_state=42), SVC(gamma=2, C=1, random_state=42), GaussianProcessClass(1.0...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
Ability of Gaussian process regression (GPR) to...
y = y_train , color = "black" , alpha = 0.4 , label = "Observations"...], y = y_train , color = "black" , alpha = 0.4 , label = "Observations"...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_noisy.html -
Common pitfalls in the interpretation of coeffi...
data = coefs , orient = "h" , palette = "dark:k" , alpha = 0.5...data = coefs , orient = "h" , color = "cyan" , saturation = 0.5...scikit-learn.org/stable/auto_examples/inspection/plot_linear_model_coefficient_interpretation.html -
pygments.css
html[data-theme="light"] .highlight pre { line-height: 125%;...125%; } html[data-theme="light"] .highlight td.linenos .normal { color:...scikit-learn.org/stable/_static/pygments.css -
Partial Dependence and Individual Conditional E...
mask_training = X [ "year" ] == 0.0 X = X . drop ( columns = [ "year"...xtick_period = 6 , 12 fig , axs = plt . subplots ( nrows = 2 , figsize...scikit-learn.org/stable/auto_examples/inspection/plot_partial_dependence.html -
One-class SVM with non-linear kernel (RBF) — sc...
X_outliers = np . random . uniform ( low =- 4 , high = 4 , size = ( 20...levels = [ 0 ], colors = "darkred" , linewidths = 2 , ) s = 40 b1...scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html -
Metadata Routing — scikit-learn 1.7.1 documenta...
n_features = 100 , 4 rng = np . random . RandomState ( 42 ) X = rng...( caller = "fit" , callee = "fit" ) . add ( caller = "predict"...scikit-learn.org/stable/auto_examples/miscellaneous/plot_metadata_routing.html -
Prediction Intervals for Gradient Boosting Regr...
all_models = {} common_params = dict ( learning_rate = 0.05 , n_estimators...n_estimators = 200 , max_depth = 2 , min_samples_leaf = 9 , min_samples_split...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html -
Comparison of the K-Means and MiniBatchKMeans c...
different += ( k_means_labels == k ) != ( mbk_means_labels == k ) identical...( left = 0.02 , right = 0.98 , bottom = 0.05 , top = 0.9 ) colors...scikit-learn.org/stable/auto_examples/cluster/plot_mini_batch_kmeans.html -
Comparison between grid search and successive h...
} clf = SVC ( random_state = rng ) tic = time () gsh = HalvingGridSearchCV...ha = "center" , va = "center" , color = "w" , fontsize = 20 ,...scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_heatmap.html